Unfolding the Literature: A Review of Robotic Cloth Manipulation

IF 14.6 1区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Annual Review of Control Robotics and Autonomous Systems Pub Date : 2024-12-02 DOI:10.1146/annurev-control-022723-033252

Alberta Longhini, Yufei Wang, Irene Garcia-Camacho, David Blanco–Mulero, Marco Moletta, Michael C. Welle, Guillem Alenyà, Hang Yin, Zackory Erickson, David Held, Júlia Borràs, Danica Kragic

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引用次数: 15

Abstract

The realm of textiles spans clothing, households, healthcare, sports, and industrial applications. The deformable nature of these objects poses unique challenges that prior work on rigid objects cannot fully address. The increasing interest within the community in textile perception and manipulation has led to new methods that aim to address challenges in modeling, perception, and control, resulting in significant progress. However, this progress is often tailored to one specific textile or a subcategory of these textiles. To understand what restricts these methods and hinders current approaches from generalizing to a broader range of real-world textiles, this review provides an overview of the field, focusing specifically on how and to what extent textile variations are addressed in modeling, perception, benchmarking, and manipulation of textiles. We conclude by identifying key open problems and outlining grand challenges that will drive future advancements in the field.

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展开文献：机器人布料操作综述

纺织品的领域涵盖服装、家庭、医疗保健、体育和工业应用。这些物体的可变形特性带来了以前在刚性物体上无法完全解决的独特挑战。社区内对纺织品感知和操纵的兴趣日益增加，导致了旨在解决建模，感知和控制方面挑战的新方法，从而取得了重大进展。然而，这一进展往往是针对一种特定的纺织品或这些纺织品的一个子类。为了了解是什么限制了这些方法，并阻碍了当前的方法从推广到更广泛的现实世界的纺织品，这篇综述提供了该领域的概述，特别关注纺织品的建模、感知、基准测试和操作中如何以及在多大程度上解决纺织品的变化。最后，我们确定了关键的开放问题，并概述了将推动该领域未来发展的重大挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annual Review of Control Robotics and Autonomous Systems Multiple-

CiteScore

28.30

自引率

2.20%

发文量

期刊介绍： The Annual Review of Control, Robotics, and Autonomous Systems offers comprehensive reviews on theoretical and applied developments influencing autonomous and semiautonomous systems engineering. Major areas covered include control, robotics, mechanics, optimization, communication, information theory, machine learning, computing, and signal processing. The journal extends its reach beyond engineering to intersect with fields like biology, neuroscience, and human behavioral sciences. The current volume has transitioned to open access through the Subscribe to Open program, with all articles published under a CC BY license.